• Support from NICHD, NIH OD, NIMH, NIDA, OBSSR, NSF
• Karen Adolph, Cathie Tamis-LeMonda, Orit Hertzberg, Tiger Teng

• What is PLAY
• Why PLAY
• Challenges to face
• Challenges met
• Challenges yet-to-be-met
• A preview

https://anhourinthelife.org

• 1,000 mother-infant dyads (12-, 18-, 24-mos)
• 1 hr natural behavior (video)
• 5 min structured play (video)
• House tour (video)
• Parent-report questionnaires
• Ambient sound levels

• Foundational video coding passes
  • Speech & language
  • Emotional expression
  • Object interaction
  • Locomotion & physical activity

• Common, shared data
• Rigorous QA control
• Investigator-specific questions…
• Dataset as deliverable
• Catalyze/expand capacity to exploit video

• Environments outside the lab most representative of children’s experiences
• Rich, varied, interesting, & important (Adolph, 2020)
• Can be captured with video (Adolph, K.E., Gilmore, R.O., & Kennedy, J.L., 2017)
• Can be analyzed systematically by human observers
• Tackling the ‘generalizability crisis’ (Yarkoni, 2020)

• (R. O. Gilmore, 2016)
• No comparable data corpus exists
• Existing datasets smaller in scale

• Full transparency
  • Planning workshop: https://nyu.databrary.org/volume/254
  • Web site (https://play-project.org), https://github.com/PLAY-behaviorome/PLAY-project.org
  • Data management & curation (Soska et al., 2021)
• Planning for future reuse

https://www.srcd.org/policy-scientific-integrity-transparency-and-openness

“The advancement of detailed and diverse knowledge about the development of the world’s children is essential for improving the health and well-being of humanity. The Society for Research in Child Development (SRCD) regards scientific integrity, transparency, and openness as essential for the conduct of research and its application to practice and policy. These values apply to research conduct, to the teaching of scientific methods, and to the translation of science into practice and policy.”

(R. Gilmore, Cole, Verma S, Aken, & Worthman, 2020) | (Gennetian, Tamis‐LeMonda, & Frank, 2020)

• Age range(s)
• What language backgrounds
• Who to include
• Where to sample
• What to vary, what to keep constant…
• Is ‘an hour in the life’ representative?
• What survey questions & how to collect
• What behaviors to code

• 12-mo-olds, 18-mo-olds, & 24-mo-olds
• Only English and Spanish-speaking households
• Mom and child
• 31 sites

• Informed by Census demographics
  • https://github.com/PLAY-behaviorome/site-demographics
  • tidycensus R package
  • collection-site-demographics.Rmd

• Health
• Patient Health Questionnaire (PHQ-4)
• Locomotor milestones
• MacArthur-Bates CDI

• Early Childhood Behavior Questionnaire (Rothbart)
• Media use
• Pets
• Household structure
• Typical day

https://nyu.databrary.org/slot/27087/0,372193/asset/119877/download?inline=true

• Findable, usable beyond launch group
• Limitations of Databrary 1.0
  • Virtual volumes?
• Versioning data, protocol, coding scheme
• Add-on, follow-up studies
  • New data
  • Augmented, new video annotations
• COVID-19

https://nyu.databrary.org/volume/444

https://nyu.databrary.org/slot/18825/78777000,82445800/asset/85849/download?inline=true

https://nyu.databrary.org/slot/18825/69908000,70431136/asset/85853/download?inline=true

https://nyu.databrary.org/slot/18825/85767000,86228590/asset/85865/download?inline=true

https://nyu.databrary.org/slot/18825/82179000,85191864/asset/85867/download?inline=true

databraryapi::login_db("myemail@university.edu")

play_data <- databraryapi::read_csv_data_as_df(session_id = 51539, asset_id = 366382)

xtabs(formula = ~ child_sex + age_group, data = play_data) %>%
  knitr::kable(., format = 'html') %>%
  kableExtra::kable_classic(.)

xtabs(formula = ~ child_race + child_ethnicity, data = play_data) %>%
  knitr::kable(., format = 'html') %>%
  kableExtra::kable_classic(.)

xtabs(formula = ~ typical_behavior + age_group, data = typical_data) %>%
  knitr::kable(., format = 'html') %>%
  kableExtra::kable_classic(.)

xtabs(formula = ~ typical_nightmorning + age_group, data = typical_data) %>%
  knitr::kable(., format = 'html') %>%
  kableExtra::kable_classic(.)

## [1] TRUE

(Szucs & Ioannidis, 2017)

“Assuming a realistic range of prior probabilities for null hypotheses, false report probability is likely to exceed 50% for the whole literature.”

• Big data developmental science of natural behavior is possible & necessary
• Cognition and emotion in context
• Ambition and vision drive innovation
• Future-orientation (what will future researchers want to know) challenging, but invigorating
• What do we want our science to be about?

This talk was produced on 2022-04-14 in RStudio using R Markdown and the ioslides framework. The code and materials used to generate the slides may be found at https://github.com/PLAY-behaviorome/2022-04-21-team-sci-cds/. Information about the R Session that produced the code is as follows:

## R version 4.1.2 (2021-11-01)
## Platform: x86_64-apple-darwin17.0 (64-bit)
## Running under: macOS Monterey 12.3
## 
## Matrix products: default
## LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib
## 
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] forcats_0.5.1   stringr_1.4.0   dplyr_1.0.8     purrr_0.3.4    
## [5] readr_2.1.1     tidyr_1.1.4     tibble_3.1.6    ggplot2_3.3.5  
## [9] tidyverse_1.3.1
## 
## loaded via a namespace (and not attached):
##  [1] nlme_3.1-153       fs_1.5.2           lubridate_1.8.0    bit64_4.0.5       
##  [5] webshot_0.5.2      httr_1.4.2         tools_4.1.2        backports_1.4.1   
##  [9] bslib_0.3.1        utf8_1.2.2         R6_2.5.1           DBI_1.1.2         
## [13] mgcv_1.8-38        colorspace_2.0-3   withr_2.5.0        tidyselect_1.1.2  
## [17] bit_4.0.4          curl_4.3.2         compiler_4.1.2     cli_3.2.0         
## [21] rvest_1.0.2        xml2_1.3.3         labeling_0.4.2     sass_0.4.1        
## [25] scales_1.1.1       systemfonts_1.0.3  digest_0.6.29      rmarkdown_2.13    
## [29] svglite_2.0.0      pkgconfig_2.0.3    htmltools_0.5.2    dbplyr_2.1.1      
## [33] fastmap_1.1.0      highr_0.9          rlang_1.0.2        readxl_1.3.1      
## [37] keyring_1.3.0      rstudioapi_0.13    shiny_1.7.1        jquerylib_0.1.4   
## [41] farver_2.1.0       generics_0.1.2     jsonlite_1.8.0     vroom_1.5.7       
## [45] magrittr_2.0.3     kableExtra_1.3.4   Matrix_1.3-4       Rcpp_1.0.8.3      
## [49] munsell_0.5.0      fansi_1.0.3        lifecycle_1.0.1    stringi_1.7.6     
## [53] yaml_2.3.5         grid_4.1.2         parallel_4.1.2     promises_1.2.0.1  
## [57] crayon_1.5.1       miniUI_0.1.1.1     lattice_0.20-45    haven_2.4.3       
## [61] splines_4.1.2      hms_1.1.1          knitr_1.38         pillar_1.7.0      
## [65] reprex_2.0.1       glue_1.6.2         evaluate_0.15      modelr_0.1.8      
## [69] vctrs_0.4.0        tzdb_0.2.0         httpuv_1.6.5       cellranger_1.1.0  
## [73] gtable_0.3.0       assertthat_0.2.1   xfun_0.30          ggExtra_0.9       
## [77] mime_0.12          xtable_1.8-4       broom_0.7.11       databraryapi_0.2.7
## [81] later_1.3.0        viridisLite_0.4.0  ellipsis_0.3.2